Polynomial-Time Methods to Solve Unimodular Quadratic Programs With Performance Guarantees

Shankarachary Ragi, Edwin K.P. Chong, Hans Mittelmann

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


We develop polynomial-time heuristic methods to solve unimodular quadratic program (UQP) approximately, which is a known NP-hard problem. Several problems in active sensing and wireless communication applications boil down to UQPs. First, we derive a performance bound for a known UQP approximation method called dominant-eigenvectormatching heuristic. Next, we present two new polynomial-time heuristic methods inspired from the greedy strategy, and we provide performance guarantees for these methods with respect to the optimal objective.

Original languageEnglish (US)
JournalIEEE Transactions on Aerospace and Electronic Systems
StateAccepted/In press - Jan 1 2018


  • Complexity theory
  • Eigenvalues and eigenfunctions
  • greedy methods
  • Heuristic algorithms
  • Linear programming
  • performance guarantees
  • polynomial-time methods
  • Radar
  • Sensors
  • string submodularity
  • Unimodular codes
  • unimodular quadratic programming
  • Wireless communication

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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